Work with thought leaders and academic experts from University of Kassel

Results-oriented and internationally experienced project manager, consultant, and researcher with a passion for leveraging machine learning and advanced statistical techniques to solve intricate challenges in international marketing and consumer behavior. Demonstrated track record of driving strategic initiatives, cultivating cross-border partnerships, and delivering tangible impacts on revenue generation. Highly adaptable to rapidly evolving technologies and market trends. Aiming to apply my expertise to lead transformative projects and elevate organizational success on a global scale. **Research and publication overview** · Authored 36 peer-reviewed journal publications (data analytics, international business, marketing) · Authored and edited 8 business books, published by *Palgrave Macmillan* and *Springer* · Published 5 teaching cases with *SAGE* and *Ivey* · Research impact (Google Scholar): h-index of 17 with 1,000+ citations **Competences in data analysis (selected)** · Supervised: Neural networks, deep learning · Unsupervised: Kohonen self-organizing maps · Frequentist and Bayesian regression analysis · Multilevel (hierarchical) modeling · Exploratory and confirmatory factor analysis · fs/QCA \| HLM \| SPSS \| JASP \| Python\, incl\. Keras\, Dalex

I'm a Data Science Leader who drives business value through leveraging analytics, automation, data science solutions, AI/ML governance, and stakeholder management. My approach focuses on creating and executing data science strategies, enabling data-driven decision-making and innovation for business process enhancement. Over the past several years, I've formulated and implemented data science strategies, collaborating across multidisciplinary teams to optimize data science solution life cycles. I've delivered efficient data-driven outcomes, gaining recognition for simplifying complex solutions and fostering team growth. One of my career highlights includes establishing a centralized data science platform to enhance Data Science efficiency. I also improved efficiency through effectively managing stakeholders and integrating data science and digitization automation. With a technical background encompassing Python, Apache Spark, PySpark, Java, SQL, and more, I lead advanced data science initiatives, specializing in agile project management. I'm passionate about fostering a culture of mentoring/coaching and team development, helping employees advance in their careers and organizations harness data science's potential for operational optimization.